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LEARNING AT NORTHEASTERN UNIVERSITY LONDON

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Postgraduate

Global Business and Artificial Intelligence dual master’s

Two universities. Two degrees. One integrated pathway.

Graduate with a fully integrated dual master’s in global business and artificial intelligence in just 18 months.

• MSc Artificial Intelligence and Business Innovation (Northeastern University London)
• MSc Global Business (Queen’s University Belfast)

Key information

Programme title

Dual degree

  • MSc Artificial Intelligence and Business
    Innovation (Northeastern University London)
  • MSc Global Business (Queen’s University Belfast) 
Study mode

On campus 

Full-time  

Duration

18 months 

Start date

September 2026  

Fees

Home £17,040 September 2026 

International £29,520 September 2026

Funding available

Home students 10% tuition fee scholarship 

International students 15% tuition fee scholarship 

Location

St Katharine Docks & The City, London 

Work in the UK

Eligible for Graduate route post-study work visa

Dual degree

This dual degree programme is jointly delivered by Queen’s University Belfast and Northeastern University London.

Dual degree

Why choose this programme?

  • A distinctive dual MSc built for the future of global business – where competitive advantage is increasingly determined by data, automation, and responsible AI adoption.
  • Earn two master’s degrees in just 18 months: MSc Artificial Intelligence and Business Innovation (Northeastern University London) and MSc Global Business (Queen’s University Belfast).
  • Study in London, where AI meets global business leadership – position yourself within one of the world’s leading international centres for technology, commerce and policymaking.
  • A fully integrated dual programme designed to fully bridge AI implementation and global business strategy – not parallel qualifications.
  • Delivered in partnership with Queen’s University Belfast, a member of the Russell Group, with Queen’s University Belfast teaching delivered in London.
  • Draw on complementary expertise across both institutions with teaching and supervision from faculty specialising in business and AI disciplines
  • An immersive postgraduate learning model delivered through focused block teaching, enabling deep engagement with each subject area.
  • 100% coursework-based assessment – projects, case studies, presentations and applied analysis. Professionally aligned evaluation reflecting real-world decision-making environments.
  • Benefit from personalised academic support – small classes, direct access to expert faculty, and tailored guidance throughout the programme.
  • Graduate prepared for leadership roles at the intersection of AI, innovation and global business strategy.
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Study in London

Enjoy state-of-the-art facilities in the heart of one of the world’s top student cities, where London’s global business, tech and cultural scene become an extension of your classroom.

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Industry experience

Learning through experience is central to the programme. You’ll apply your knowledge to real-world projects and industry challenges, gaining practical skills and professional insight.

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Global community

Northeastern University London is part of Northeastern University’s 13-campus global network, home to almost 100 nationalities and built for a postgraduate experience shaped by global thinking.

Programme overview

What you’ll study

What you’ll study

This dual master’s integrates artificial intelligence with global business strategy within a single academic framework. 

You will examine how AI systems are developed, evaluated and implemented, and how they operate within contemporary international markets and regulatory environments. Ethical reasoning and responsible innovation are embedded throughout the curriculum.  

 The programme situates artificial intelligence within real global business contexts, exploring: 

  • Global market strategy and international competition
  • Digital commerce and platform business models
  • Organisational AI adoption and transformation
  • Ethics, governance and regulatory systems shaping innovation 

You will analyse how artificial intelligence reshapes competitive advantage, organisational design and cross-border operations, developing the ability to operate across both technical and strategic domains. 

The curriculum develops your capacity to: 

  • Evaluate AI-enabled business models and transformation initiatives
  • Align AI adoption with international market strategy
  • Assess ethical, regulatory and sustainability implications
  • Translate AI capability into organisational and commercial impact

Skills that set you apart

  • Lead AI-driven transformation across global organisations
  • Translate generative and agentic AI capabilities into measurable business value
  • Align digital innovation with international market strategy
  • Evaluate ethical, regulatory and governance considerations in diverse contexts
  • Operate confidently between technical specialists and executive leadership
  • Deliver research-informed strategic insight through a jointly supervised dissertation

In-the-Field Experiential Project 

The In-the-Field Experiential Project places you within a real organisational context, working on live AI and business challenges. This module enables you to apply programme concepts in practice, integrating strategic analysis with AI implementation. 

Dissertation

Your studies culminate in a substantial, jointly supervised dissertation. This independent project requires you to address an AI-enabled international business challenge, integrating business strategy and AI implementation within a single piece of work. 

The dissertation demonstrates advanced analytical, methodological and interdisciplinary capability, bringing together the programme’s technical, strategic and governance dimensions.

Programme and content

  • Doing Business in Emerging Markets
  • Digital Supply Chain Management
  • Data-Driven Transformation
  • Leading in the Age of AI Collaboration
  • Agentic & Generative AI
  • Global Innovation Management
  • Responsible Artificial Intelligence
  • In-the-Field-experiential Project II
  • Digital Business Strategy
  • Dissertation

MSc Artificial Intelligence and Business Innovation delivered by Northeastern University London.

MSc Global Business delivered by Queens University Belfast.

Jointly supervised and assessed by both institutions.

These shared courses contribute to both awards.

How you’ll learn

Experiential learning

At Northeastern University London, education goes far beyond textbooks and lectures – we believe in the transformative power of learning by doing.

You won’t just study concepts; you’ll apply them in real-world settings, gaining hands-on experience that prepares you for a successful future.

Studying in the heart of London gives you access to immersive, real-world learning opportunities in one of the world’s most dynamic and globally connected cities.

Block teaching supports intensive, focused study across each stage of the programme.

Industry-embedded AI implementation projects through the 30-credit Postgraduate In-the-Field Experiential Project, where you work within real organisations on authentic AI transformation challenges.

Applied coursework experiential learning is embedded throughout this dual programme, integrating artificial intelligence with international business strategy. You will engage with real organisational challenges that require the evaluation and implementation of AI within global business contexts.

Experiential learning

Coursework-based assessment includes case analysis, strategic reports, applied projects and presentations. These formats develop your ability to:

  • apply AI and data-driven insight to business decision-making
  • evaluate technological feasibility alongside commercial viability
  • communicate complex analysis to specialist and non-specialist audiences
  • integrate ethical and regulatory considerations into implementation plans

Dissertation: a substantial independent research project examining an AI-enabled international business challenge, demonstrating the integrated application of strategic business thinking and AI implementation.

The dissertation is jointly supervised and assessed by both institutions and is an opportunity for students to use London’s business and policy landscape as a context for their research.

 

Careers and employability

Join a global community of 300,000+ Northeastern alumni and 165,000+ Queen’s University Belfast alumni, plus thousands of industry partners, opening doors to powerful professional networks across technology, consulting, finance, government and beyond.

You’ll benefit from employer events, networking opportunities, skills workshops and expert careers guidance, helping you refine your goals and take confident steps towards your next role. 

Skills for a successful career 

Skills for a successful career 

Designed for in-demand hybrid roles requiring both strategic business expertise and practical understanding of AI implementation.

This programme positions graduates for roles where organisations need hybrid talent:

  • business transformation
  • digital strategy
  • AI product/commercialisation
  • responsible AI governance
  • supply chain digitisation
  • innovation management
  • consulting / advisory pathways

Sectors you can work in

Graduates are equipped as leaders who can work across industries adopting AI technologies and digital transformation strategies, including:

  • Technology companies
  • Financial services
  • Consulting and digital transformation firms
  • Retail and e-commerce
  • Healthcare and life sciences
  • Government and public sector
  • Professional services
  • Telecommunications 

Career paths and roles 

This dual master’s prepares you for roles at the intersection of artificial intelligence and global business strategy – an area of growing importance across industries and international markets. 

Strategy and Transformation 

Graduates pursue roles such as: 

  • Strategy Manager supporting AI-enabled business initiatives
  • Digital Transformation Consultant advising organisations on AI adoption
  • Technology Strategy Analyst within consulting or corporate strategy teams 

These positions involve developing implementation roadmaps, aligning AI investment with business objectives, and guiding organisations through complex technology-driven change. 

Product and Commercial Leadership

AI-enabled products require professionals who understand both technology and market positioning. Career pathways include: 

  • Associate Product Manager or Product Analyst
  • Product Manager for AI-enabled services and platforms

These roles involve defining product strategy, collaborating with engineering teams, and translating technical capability into commercial value across technology firms, scale-ups and established enterprises. 

Business and Technology Analysis

Graduates may work as: 

  • Business Analyst
  • Technology Strategy Analyst
  • Market or Competitive Intelligence Analyst 

Across sectors such as consulting, financial services, retail, telecommunications and technology, these roles focus on evaluating AI opportunities, generating strategic insight and supporting data-informed decision-making.

Innovation and Programme Management

Innovation and Programme Managers lead AI-enabled initiatives from design through delivery. These roles require the ability to manage stakeholders, assess technical feasibility and ensure alignment between technology deployment and business value. 

This programme is designed for careers where organisations require professionals who can combine strategic business judgement with applied understanding of artificial intelligence. 

Networking for your future

Through the combined reach of Northeastern University’s and Queen’s University Belfast’s  global network of employer partners and alumni you’ll be connected to a community of professionals, mentors and industry leaders ready to support your career ambitions wherever they take you. 

Dedicated careers support

From day one, our careers team supports your goals, builds your professional profile, and prepares you for what’s next – advancement, career change, or global opportunities. 

Where you’ll study

Where you’ll study

Our vibrant campus in the heart of London offers you modern facilities and inspiring surroundings with everything you need for your studies. Our central location places you close to many of the UK’s most innovative tech companies, start-ups and digital communities.

See our campus

Book a personal consultation

Book a one-to-one consultation to discover more about our master’s programmes and get answers to any questions you have about postgraduate study, our campus or student life in London. Our postgraduate team offers personalised guidance in a format that suits you – on campus, online or over the phone.

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Entry requirements

We typically make offers to applicants who hold a UK undergraduate degree with at least a second-class (2:2) honours (or international equivalent).

We also welcome applications from mature students and professionals who may have been out of formal education but can demonstrate relevant professional experience or equivalent qualifications.

Each application is reviewed on an individual basis and assessed through the application form, reference, and personal statement.

English language requirements

If English is not your native language, you’ll need to show you’re proficient in English to study with us. You can find more on the test results we accept on our entry requirements page.

Our entry requirements

Tuition fees

Fees

Home fees (Sept 2026 entry): £17,040

International fees (2026 entry): £29,520

Postgraduate fees and funding
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Funding

Home students: tuition fees from £15,336 

Home students receive a 10% scholarship, reducing fees to £15,336 for September 2026 and are also eligible to apply for the UK government Master’s Loan 

International students: tuition fees from £25,092 

International students receive a 15% scholarship, reducing fees to £25,092 for September 2026

Postgraduate fees and funding
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How to apply

Ready to lead AI-driven business transformation? Start your application today.

How to apply

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